Challenges of incorporating wounded personnel into small arms combat simulations

Author:

Biggs Adam T12ORCID,Hamilton Joseph A23,Markwald Rachel R2

Affiliation:

1. Naval Special Warfare Command, USA

2. Warfighter Performance Department, Naval Health Research Center, USA

3. Hamilton Strategic Solutions, USA

Abstract

Small arms combat modeling is one method to describe raw human performance data in terms of lethality. This process uses a series of Monte Carlo simulations based on observed data to convert measurements of speed and accuracy into a quantifiable chance of winning a combat engagement. A major issue within these modeling efforts involves the assumptions of incorporating wounded personnel. Realistic combat will have scenarios where shots fired strike adversaries without killing them, and therefore, this element cannot be ignored. However, there are at least four significant assumptions made during the modeling and simulation effort when incorporating wounded personnel: (1) assigning damage inflicted by shots, (2) tracking wounded personnel, (3) reducing combat effectiveness of wounded personnel, and (4) burdening other fighters in the simulation. Here, we outline the challenges posed by each assumption and discuss possible solutions. Whatever the final decision for a particular modeling effort, the assumptions made should always be clearly documented in the “Methods” section. Wounded personnel will likely require several such assumptions be made that could affect the outcome; nevertheless, wounded personnel should be represented in some capacity in any small arms combat modeling effort.

Funder

Office of Naval Research

Publisher

SAGE Publications

Subject

Engineering (miscellaneous),Modeling and Simulation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3